Natural language search lets visitors type queries the way they speak — full sentences, constraints and questions — and interprets them into structured retrieval. "Black dress under 3000 for a party" becomes a category, a colour, a price ceiling and an occasion, rather than five keywords matched literally.
Semantic similarity alone is not enough, because sentences carry hard constraints that similarity ignores. A price ceiling is not a preference — returning a ₹6,000 dress for "under 3000" is simply wrong, however semantically close it is.
Show the parsed constraints as removable chips. When a visitor sees that the system understood "under 3000" as a price filter, a misreading becomes a one-tap correction instead of an unexplained bad result page.